Spotlight: March 17, 2026


The Weekly Dispatch

Top posts from this week

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Many founders are discovering that “working harder” just scales exhaustion, not earnings. Robin Waite shows how escaping the sales cycle of doom starts with pricing math—charging more for better-designed offers so fewer, better-fit clients can double revenue instead of workload.

Terri Maxwell then explains why AI won’t create time unless the business itself gets simpler, using her Business Simple and fulcrum frameworks to decide what to stop, redesign, and delegate.

Finally, Tim Davidson reveals how brands like Amazon win by running thousands of structured experiments, and how smaller e‑com teams can borrow that discipline to treat the whole business like a lab.

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Confidently Charging More with Fearless Business

Robin Waite, founder of Fearless Business, coaches consultants, freelancers, and agencies to escape the “sales cycle of doom” by confidently charging more, redesigning their offers, and using simple pricing math to double income with fewer, better-fit clients. Many experts try to grow by doing “more of the same”—more marketing, more sales calls, more client work—only to get stuck in a exhausting loop of sell–deliver–sell–deliver. Robin calls this the “sales cycle of doom” and argues that long-term, sustainable growth comes not from doubling everything, but from charging more for better-designed offers, serving fewer clients more deeply, and letting referrals do more of the heavy lifting.

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Scaling with AI by Making Business Simple – Insights from Share On Purpose

Terri Maxwell, CEO and president of Share On Purpose, has built a portfolio of purpose‑driven companies—Promote On Purpose, Ignite On Purpose, Talent On Purpose, and Shift/Co—focused on helping founders scale revenue without losing their mission. In this session, she shows why AI alone won’t deliver the “promised land” of more time, and how to simplify your business using her Business Simple and fulcrum frameworks. Terri notes that while AI tools themselves are often easy to use, implementing them across a real business is hard. Teams expect instant time savings, but if you don’t rethink what to stop doing, what to redesign, and how people spend their time, AI can actually add friction—creating loops of efficiency and inefficiency, and leaving founders wondering why they feel busier than ever.

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How Clean Commit Uses Experimentation to Drive E‑Com Growth

Tim Davidson, co‑founder of Clean Commit, helps e‑commerce brands boost revenue through high‑performance Shopify builds, conversion rate optimization (CRO), and carefully engineered web experiences—and in this session, he shows founders how to borrow enterprise‑grade A/B testing discipline to grow faster by treating their whole business like a lab. Tim argues that the “secret sauce” behind enterprise growth is not brilliant ideas but the sheer volume of structured experiments they run; giants like Amazon, Temu, and eBay run thousands of A/B tests at any given time, and every visit often drops you into dozens of concurrent experiments. He highlights Jeff Bezos’ view that innovation rate is dictated less by intelligence and more by how quickly you can test, then shows how smaller companies can adopt the same mindset without a data science team.

Read more | ​Request free proposal​

🔦 Weekly Spotlight

Across services, AI, and e‑commerce, the pattern is clear: growth comes from leverage, not volume. Founders who raise prices, simplify operating models, and dramatically increase the number of smart experiments compound results while everyone else just adds more tasks to the calendar.

 

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💡 Final Thoughts

The next edition lands Tuesday, with a deeper dive into designing “enough but better” business models for the AI era—where every price, process, and test has a clear job to do.

P.S. Reply with one lever you suspect would change everything if you finally committed to it: pricing, simplification, or experimentation.

Best regards,

Michael Bernzweig
Founder, Software Oasis
Founded 1998 | Vetted Community for B2B Founders & Executives

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